Cross-Language Stack Unwinding for Mixed-Mode Profiling
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Solution Overview
Problem
Existing software profilers are unable to effectively profile performance across multiple programming languages and cannot provide call stacks that transition from non-native user space code into kernel code, limiting their use in production environments due to high overhead and inability to handle mixed-language stacks.
Innovation Solution
A system and method for unwinding program call stacks across native-to-interpreted code and native-to-JIT-runtime boundaries, enabling cross-language profiling with low performance impact, and supporting both kernel and user space profiling, including interpreted and JIT-compiled code.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing profilers use single-language stack unwinding, then they can accurately profile one language, but they cannot profile mixed-language stacks or transition between languages
Solution Approach 1:
The patent implements a universal stack unwinding mechanism that can handle multiple programming languages (C, C++, Java, Python, Ruby, PHP) and execution modes (native, interpreted, JIT-compiled) within a single profiler framework. The system uses a unified approach to construct call stacks across language boundaries, allowing one profiler to serve multiple profiling needs without requiring separate profilers for each language.
Solution Approach 2:
The patent introduces an intermediary mechanism that bridges different programming languages and execution environments. This intermediary layer enables the profiler to transition between languages (e.g., from native code to interpreted code or from interpreted code to kernel code) by maintaining a unified stack representation that can accommodate different language-specific call stack formats.
2Adaptability or versatility
If profilers add cross-language stack unwinding capability, then they can profile mixed-language stacks, but performance overhead increases
Solution Approach 1:
The patent segments the stack unwinding process into distinct phases: constructing the initial stack in the first language, detecting language boundaries, and transitioning to the next language's stack representation. This segmentation allows the profiler to handle cross-language stacks efficiently by processing each language segment independently rather than treating the entire mixed-language stack as a homogeneous structure.
Solution Approach 2:
The patent implements dynamic stack representation that adapts to different languages and execution modes. The stack structure is not fixed but can dynamically reconfigure based on the detected language and execution context, allowing the profiler to optimize its representation for each specific language while maintaining the ability to transition between languages.
3Measurement precision
If profilers implement full cross-language stack unwinding, then they can provide comprehensive performance analysis, but implementation complexity increases
Solution Approach 1:
The patent uses copying mechanisms to create unified stack representations from different language-specific stack formats. Instead of trying to merge all language stacks into a single homogeneous structure, the system creates a unified representation by copying and translating the essential stack frame information from each language's native format into a common intermediate representation that can be consistently processed.
Solution Approach 2:
The patent changes the representation parameters of stack frames based on the detected language and execution mode. By adjusting parameters such as stack frame structure, data types, and navigation methods according to the specific language being profiled, the system achieves accurate cross-language profiling without requiring a completely different profiler for each language.
4Reliability
If profilers support multiple languages and execution modes, then they become production-ready, but they require sophisticated unwinding mechanisms
Solution Approach 1:
The patent introduces an intermediary unwinding mechanism that mediates between different language-specific unwinding approaches. This intermediary layer provides a unified interface for handling stack unwinding across all supported languages and execution modes, abstracting the complexity of language-specific details while maintaining the ability to accurately represent and analyze stacks from any language or mode.
Data Source
AI summary
Functionality is provided for unwinding program call stacks across native-to-interpreted code and native-to-JIT-compiled code boundaries, as well as across the kernel and user space boundaries, during performance profiling. The system thus enables profiling of code that crosses boundaries from native code to interpreted languages and native code to languages that run on a runtime supporting JIT compilation. Various embodiments provide cross-language profiling with a sufficiently low performance impact so as to enable such profiling to take place in a production environment.